摘要
水利信息化系统涉及的业务多,软件系统复杂,硬件设备类型和型号众多,系统建成后往往面临着如何运维的问题。当系统发生故障、监测数据或业务数据异常时,需要对整个系统的软硬件运行情况进行逐个排查,大多靠个人工程运行经验,排查耗时长且难以找到根因,严重影响了水利工程的安全稳定运行。为解决以上问题,以水利数据传输链路分析为基础,建立水利数据链路故障排查二叉决策树模型,配置链路节点属性监控项,通过传统监控结合决策树推理的方法,实现水利信息系统故障的快速定位。并在某长距离输水工程现场予以了正式使用,应用效果良好。
The water conservancy information system involves many businesses,complex software system and many types and models of hard‐ware equipment.After the system is completed,it is often faced with the problem of how to operate and maintain.In case of system failure,abnormal monitoring data or business data,it is necessary to check the software and hardware operation of the whole system one by one.Most of them rely on personal engineering operation experience.The troubleshooting takes a long time and is difficult to find the root cause,which seriously affects the safe and stable operation of water conservancy projects.In order to solve the above problems,based on the analysis of wa‐ter conservancy data transmission link,this paper establishes the binary decision tree model of water conservancy data link troubleshooting,configures the attribute monitoring items of link nodes,and realizes the rapid fault location of water conservancy information system through the method of traditional monitoring combined with decision tree reasoning.It has been formally used in a long-distance water conveyance project,and the application effect is good.
作者
刘天山
胡露骞
夏天
李萌萌
彭取
谈震
LIU Tian-shan;HU Lu-qian;XIA Tian;LI Meng-meng;PENG Qu;TAN Zhen(Gansu Yintao Engineering Construction Administration,Lanzhou 730046,China;Hangzhou Qiandao Lake Raw Water Co.,Ltd.,Hangzhou 310009,China;NARI Group(State Grid Electric Power Research Institute)Co.,Ltd.,Nanjing 211000,China)
出处
《中国农村水利水电》
北大核心
2022年第8期121-127,共7页
China Rural Water and Hydropower
基金
甘肃省水利科学试验研究与技术推广项目(甘水建管发[2021]71号)。
关键词
机器学习
二叉树算法
水利信息化系统
故障定位
machine learning
binary tree algorithm
water conservancy information system
fault location